Microsoft Dialogue Challenge: Building End-to-End Task-Completion Dialogue Systems

Xiujun Li, Yu Wang, Siqi Sun, Sarah Panda, Jingjing Liu +1 more
7/29/2018
cs.CLcs.AIcs.LG

Official code: xiul-msr/e2e_dialog_challenge (194 stars, last commit 2019-06-20).

Abstract

This proposal introduces a Dialogue Challenge for building end-to-end task-completion dialogue systems, with the goal of encouraging the dialogue research community to collaborate and benchmark on standard datasets and unified experimental environment. In this special session, we will release human-annotated conversational data in three domains (movie-ticket booking, restaurant reservation, and taxi booking), as well as an experiment platform with built-in simulators in each domain, for training and evaluation purposes. The final submitted systems will be evaluated both in simulated setting and by human judges.

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End-To-End Task-Completion Dialogue Challenge

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Cite this paper

@article{li2018microsoft,
  title  = {Microsoft Dialogue Challenge: Building End-to-End Task-Completion Dialogue Systems},
  author = {Xiujun Li and Yu Wang and Siqi Sun and Sarah Panda and Jingjing Liu and Jianfeng Gao},
  year   = {2018},
  eprint = {1807.11125},
  archivePrefix = {arXiv},
  url    = {https://arxiv.org/abs/1807.11125}
}

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